Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

315
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
315
Quantifying and Rejecting Outliers: The Grubbs Test01:02

Quantifying and Rejecting Outliers: The Grubbs Test

3.0K
Sometimes, a data set can have a recorded numerical observation that greatly  deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier.  To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This...
3.0K
Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

6.6K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
6.6K
Econometric Views (EViews)01:29

Econometric Views (EViews)

349
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
349
Statistical Hypothesis Testing01:16

Statistical Hypothesis Testing

4.5K
Hypothesis testing is a critical statistical procedure facilitating informed, evidence-based decisions. It begins with a hypothesis, which is a tentative explanation, or a prediction about a population parameter. This hypothesis can be either a null hypothesis (H0), indicating no effect or difference, or an alternative hypothesis (Ha), suggesting an effect or difference.
Statistical significance measures the probability that an observed result occurred by chance. If this probability, known as...
4.5K
Residuals and Least-Squares Property01:11

Residuals and Least-Squares Property

8.3K
The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
8.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Role of incretins in Alzheimer's disease and their impact on behavioral aspects.

Chinese medical journal·2026
Same author

Adaptive Sensor Fusion for Robust Perception in Dense Fog: A Gated Vision and LiDAR Integration Framework.

Sensors (Basel, Switzerland)·2026
Same author

Sleeve gastrectomy improves cognition by enhancing central ERK/CREB/BDNF pathway through increased GIP secretion.

iScience·2026
Same author

Clinical Characteristics and Long-Term Outcomes of Patients With Fibrosing Mediastinitis: A Multicenter Retrospective Cohort Study.

JACC. Asia·2026
Same author

Epigenetic Aging Clocks Associate with Cognitive Status but Not Cognitive Decline: Evidence from the Parkinson's Progression Markers Initiative.

medRxiv : the preprint server for health sciences·2026
Same author

Altered Notch pathway-related protein expression in cord blood of preeclampsia offspring: a pilot study.

BMC pregnancy and childbirth·2026

Related Experiment Video

Updated: Nov 13, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.8K

Monitoring Recessions: A Bayesian Sequential Quickest Detection Method.

Haixi Li1, Xuguang Simon Sheng2, Jingyun Yang3

  • 1Freddie Mac.

International Journal of Forecasting
|March 15, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a Bayesian sequential method for real-time business cycle monitoring. The new approach accurately identifies economic turning points faster than traditional methods, improving timeliness without false alarms.

Keywords:
Business CycleMarkov SwitchingOptimal StoppingTurning Points

More Related Videos

A Precise and Autonomous System for the Detection of Insect Emergence Patterns
06:22

A Precise and Autonomous System for the Detection of Insect Emergence Patterns

Published on: January 9, 2019

5.9K
Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity
07:28

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity

Published on: January 21, 2017

7.2K

Related Experiment Videos

Last Updated: Nov 13, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.8K
A Precise and Autonomous System for the Detection of Insect Emergence Patterns
06:22

A Precise and Autonomous System for the Detection of Insect Emergence Patterns

Published on: January 9, 2019

5.9K
Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity
07:28

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity

Published on: January 21, 2017

7.2K

Area of Science:

  • Economics
  • Econometrics
  • Statistics

Background:

  • Accurate and timely business cycle monitoring is crucial for economic policy.
  • Existing methods often face a trade-off between accuracy and timeliness in identifying economic turning points.

Purpose of the Study:

  • To develop a novel Bayesian sequential quickest detection method for real-time business cycle turning point identification.
  • To balance the objectives of accuracy and timeliness in economic cycle monitoring.

Main Methods:

  • A Bayesian sequential quickest detection method was developed.
  • A sequential stopping time was proposed as a solution for real-time dating.
  • The method was evaluated using four monthly U.S. economic activity indexes to date past recessions.

Main Results:

  • The proposed method achieved similar turning point dates to the National Bureau of Economic Research (NBER) without false alarms.
  • It identified peaks 4 months faster and troughs 10 months faster on average compared to NBER announcements.
  • Compared to a dynamic factor Markov-switching model, the method offered an average lead time of 5 months for peaks and 2 months for troughs.

Conclusions:

  • The Bayesian sequential quickest detection method offers a superior balance between accuracy and timeliness in business cycle monitoring.
  • This approach provides a significant improvement in the speed of dating economic peaks and troughs.
  • The method demonstrates practical utility for real-time economic analysis and policy-making.